freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.md

id, challengeType, isHidden, videoId

id	challengeType	isHidden	videoId
5e8f2f13c4cdbe86b5c72d98	11	false	kfv0K8MtkIc

Description

Tests

question:
  text: |
    Fill in the blanks below to complete the architecture for a convolutional neural network:

    ```py
    model = models.__A__()
    model.add(layers.__B__(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))
    model.add(layers.__C__(2, 2))
    model.add(layers.__B__(64, (3, 3), activation='relu'))
    model.add(layers.__C__(2, 2))
    model.add(layers.__B__(32, (3, 3), activation='relu'))
    model.add(layers.__C__(2, 2))
    ```

  answers:
    - |
      A: `Sequential`

      B: `add`

      C: `Wrapper`
    - |
      A: `keras`

      B: `Cropping2D`

      C: `AlphaDropout`
    - |
      A: `Sequential`

      B: `Conv2D`

      C: `MaxPooling2D`
  solution: 3